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Journal of Statistics and Data Science Education Volume 30, 2022 - Issue 3: Teaching Reproducibility
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Articles

Teaching for Large-Scale Reproducibility Verification

Lars VilhuberCornell University, Ithaca, NYCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5733-8932
ORCID Icon,
Hyuk Harry SonCornell University, Ithaca, NY
,
Meredith WelchCornell University, Ithaca, NY
,
David N. WasserCornell University, Ithaca, NY
&
Michael DarisseCornell University, Ithaca, NY
Pages 274-281 | Published online: 23 Jun 2022

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Read on this site (2)

Anthony Underwood, Aidan Sichel & Emily C. Marshall. (2023) Teaching Reproducible Methods in Economics at Liberal Arts Colleges: A Survey. Journal of Statistics and Data Science Education 0:0, pages 1-7.
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John Towse, Rob Davies, Ellie Ball, Rebecca James, Ben Gooding & Matthew Ivory. (2022) LUSTRE: An Online Data Management and Student Project Resource. Journal of Statistics and Data Science Education 30:3, pages 266-273.
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Articles from other publishers (2)

Fraida Fund. (2023) We Need More Reproducibility Content Across the Computer Science Curriculum. We Need More Reproducibility Content Across the Computer Science Curriculum.
. (2023) Report of the AEA Data Editor. AEA Papers and Proceedings 113, pages 850-863.
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